IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Special Section on Information-Based Induction Sciences and Machine Learning
A Short Introduction to Learning to Rank
Hang LI
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2011 Volume E94.D Issue 10 Pages 1854-1862

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Abstract

Learning to rank refers to machine learning techniques for training the model in a ranking task. Learning to rank is useful for many applications in Information Retrieval, Natural Language Processing, and Data Mining. Intensive studies have been conducted on the problem and significant progress has been made[1],[2]. This short paper gives an introduction to learning to rank, and it specifically explains the fundamental problems, existing approaches, and future work of learning to rank. Several learning to rank methods using SVM techniques are described in details.

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© 2011 The Institute of Electronics, Information and Communication Engineers
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